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get rid of some configs, formalize pythioa lora config

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This commit is contained in:
Wing Lian
2023-06-11 09:41:41 -04:00
parent 14668fa54e
commit 77762a5d6b
7 changed files with 11 additions and 248 deletions
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15
configs/accelerate/default_config.yaml
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@@ -1,15 +0,0 @@
compute_environment: LOCAL_MACHINE
distributed_type: 'NO'
downcast_bf16: 'no'
gpu_ids: all
machine_rank: 0
main_training_function: main
mixed_precision: bf16
num_machines: 1
num_processes: 1
rdzv_backend: static
same_network: true
tpu_env: []
tpu_use_cluster: false
tpu_use_sudo: false
use_cpu: false

39
configs/llama_13B_alpaca.yml
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@@ -1,39 +0,0 @@
base_model: huggyllama/llama-13b
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: true
datasets:
- path: anon8231489123/ShareGPT_Vicuna_unfiltered
data_files: ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json
type: sharegpt
dataset_prepared_path: last_run_prepared
val_set_size: 0.002
adapter:
lora_model_dir:
sequence_len: 2048
lora_r: 8
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
- q_proj
- v_proj
lora_fan_in_fan_out: false
wandb_project:
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./llama-13b-sharegpt
gradient_accumulation_steps: 1
micro_batch_size: 2
warmup_steps: 1000
save_steps:
eval_steps:
num_epochs: 5
learning_rate: 0.00003
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
early_stopping_patience: 5
resume_from_checkpoint:
local_rank:

44
configs/llama_65B_alpaca.yml
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@@ -1,44 +0,0 @@
base_model: huggyllama/llama-65b
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: true
datasets:
- path: data/alpaca_data_gpt4.jsonl
type: alpaca
- path: anon8231489123/ShareGPT_Vicuna_unfiltered
data_files: ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json
type: sharegpt
- path: data/gpt4-instruct-similarity-0.6-dataset.jsonl
type: gpteacher
- path: data/roleplay-similarity_0.6-instruct-dataset.jsonl
type: gpteacher
dataset_prepared_path: last_run_prepared
val_set_size: 0.04
adapter: lora
lora_model_dir:
sequence_len: 2048
lora_r: 8
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
- q_proj
- v_proj
lora_fan_in_fan_out: false
wandb_project: llama-65b-lora
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./lora-llama-alpaca
gradient_accumulation_steps: 1
micro_batch_size: 16
warmup_steps: 1000
save_steps:
num_epochs: 5
learning_rate: 0.00003
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:

45
configs/llama_7B_4bit.yml
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@@ -1,45 +0,0 @@
base_model: decapoda-research/llama-7b-hf-int4
base_model_config: decapoda-research/llama-7b-hf
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: true
datasets:
- path: tatsu-lab/alpaca # original alpaca dataset
type: alpaca
dataset_prepared_path: data/last_run_prepared
val_set_size: 0.04
adapter: lora
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len: 1024
lora_r: 8
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
- q_proj
- v_proj
# - k_proj
# - o_proj
lora_fan_in_fan_out: false
wandb_project:
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./lora-test
gradient_accumulation_steps: 1
micro_batch_size: 2
num_epochs: 3
warmup_steps: 100
learning_rate: 0.00003
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
gradient_checkpointing: false
early_stopping_patience: 3
resume_from_checkpoint:
auto_resume_from_checkpoints: true
local_rank:
load_4bit: true
xformers_attention: true
flash_attention:

45
configs/quickstart.yml
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@@ -1,45 +0,0 @@
base_model: decapoda-research/llama-7b-hf-int4
base_model_config: decapoda-research/llama-7b-hf
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: true
datasets:
- path: tatsu-lab/alpaca # original alpaca dataset
type: alpaca
dataset_prepared_path: data/last_run_prepared
val_set_size: 0.04
adapter: lora
lora_model_dir:
sequence_len: 1024
max_packed_sequence_len: 1024
lora_r: 8
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
- q_proj
- v_proj
# - k_proj
# - o_proj
lora_fan_in_fan_out: false
wandb_project:
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./lora-test
gradient_accumulation_steps: 1
micro_batch_size: 1
num_epochs: 3
warmup_steps: 100
learning_rate: 0.00003
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
gradient_checkpointing: false
early_stopping_patience: 3
resume_from_checkpoint:
auto_resume_from_checkpoints: true
local_rank:
gptq: true
xformers_attention: true
flash_attention:

45
configs/vicuna_13B_4bit_reflect.yml
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@@ -1,45 +0,0 @@
base_model: anon8231489123/vicuna-13b-GPTQ-4bit-128g
base_model_config: anon8231489123/vicuna-13b-GPTQ-4bit-128g
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
load_4bit: true
gptq_groupsize: 128
gptq_model_v1: false
datasets:
# https://github.com/vaguenebula/AlpacaDataReflect/blob/main/alpaca_reflect_pruned.json
- path: data/alpaca_reflect_pruned.jsonl
type: reflection
dataset_prepared_path: data/last_run_prepared
val_set_size: 0.04
adapter: lora
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len: 2048
lora_r: 8
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
- q_proj
- v_proj
# - k_proj
# - o_proj
lora_fan_in_fan_out: false
wandb_project:
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./lora-reflect
gradient_accumulation_steps: 1
micro_batch_size: 2
num_epochs: 3
learning_rate: 0.00003
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
gradient_checkpointing: false
early_stopping_patience: 3
resume_from_checkpoint:
local_rank:
flash_attention: true

26
configs/pythia_1_2B_alpaca.yml → examples/pythia/lora.yml
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@@ -1,36 +1,29 @@
base_model: EleutherAI/pythia-1.4b-deduped
model_type: GPTNeoXForCausalLM
tokenizer_type: AutoTokenizer
base_model_config: EleutherAI/pythia-1.4b-deduped
load_in_8bit: true
datasets:
- path: data/alpaca_data_gpt4.jsonl
- path: teknium/GPT4-LLM-Cleaned
type: alpaca
- path: data/vicuna_cleaned.jsonl
type: sharegpt
- path: data/gpt4-instruct-similarity-0.6-dataset.jsonl
type: gpteacher
- path: data/roleplay-similarity_0.6-instruct-dataset.jsonl
type: gpteacher
dataset_prepared_path: last_run_prepared
val_set_size: 0.05
adapter: lora
lora_model_dir:
sequence_len: 2048
lora_r: 8
sequence_len: 512
lora_r: 16
lora_alpha: 32
lora_dropout: 0.05
lora_target_modules:
- query_key_value
# - xxx
lora_target_linear:
lora_fan_in_fan_out: true # pythia/GPTNeoX lora specific
wandb_project: pythia-1.4b-lora
wandb_project:
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./lora-alpaca
output_dir: ./lora-alpaca-pythia
gradient_accumulation_steps: 1
micro_batch_size: 4
num_epochs: 5
num_epochs: 3
learning_rate: 0.00001
train_on_inputs: false
group_by_length: false
@@ -39,3 +32,6 @@ tf32: True
early_stopping_patience:
resume_from_checkpoint:
local_rank:
weight_decay: 0.1
eval_steps: 20
logging_steps: 1